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Feature Engineering

Feature engineering is the process of taking a dataset and constructing explanatory variables — features — that can be used to train a machine learning model for a prediction problem. Often, data is spread across multiple tables and must be gathered into a single table with rows containing the observations and features in the columns.

The traditional approach to feature engineering is to build features one at a time using domain knowledge, a tedious, time-consuming, and error-prone process known as manual feature engineering. The code for manual feature engineering is problem-dependent and must be re-written for each new dataset.

Papers

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Showing 1301–1350 of 1706 papers

TitleStatusHype
Recurrent Neural Network Language Models for Open Vocabulary Event-Level Cyber Anomaly DetectionCode0
Spherical convolutions and their application in molecular modelling—0
OCR Post-Processing Text Correction using Simulated Annealing (OPTeCA)—0
Bingo at IJCNLP-2017 Task 4: Augmenting Data using Machine Translation for Cross-linguistic Customer Feedback Classification—0
Alibaba at IJCNLP-2017 Task 2: A Boosted Deep System for Dimensional Sentiment Analysis of Chinese Phrases—0
Stock Market Prediction with Deep Learning: A Character-based Neural Language Model for Event-based Trading—0
Predicting Depression Severity by Multi-Modal Feature Engineering and Fusion—0
AutoLearn - Automated Feature Generation and SelectionCode0
Neurology-as-a-Service for the Developing World—0
SkipFlow: Incorporating Neural Coherence Features for End-to-End Automatic Text ScoringCode0
Convolutional Neural Network with Word Embeddings for Chinese Word SegmentationCode0
p-FP: Extraction, Classification, and Prediction of Website Fingerprints with Deep Learning—0
Event Argument Identification on Dependency Graphs with Bidirectional LSTMs—0
Chemical-Induced Disease Detection Using Invariance-based Pattern Learning Model—0
Identifying Protein-protein Interactions in Biomedical Literature using Recurrent Neural Networks with Long Short-Term Memory—0
Deep Learning in Lexical Analysis and Parsing—0
Addressing Domain Adaptation for Chinese Word Segmentation with Global Recurrent Structure—0
Enhancing Drug-Drug Interaction Classification with Corpus-level Feature and Classifier Ensemble—0
End-to-End Optimized Speech Coding with Deep Neural Networks—0
Deep Health Care Text Classification—0
Solving the "false positives" problem in fraud predictionCode0
Clickbait Detection in Tweets Using Self-attentive NetworkCode0
End-to-end Network for Twitter Geolocation Prediction and HashingCode0
A Unified Neural Network Approach for Estimating Travel Time and Distance for a Taxi Trip—0
Identifying Quantum Phase Transitions with Adversarial Neural NetworksCode0
Clickbait detection using word embeddings—0
Identifying Clickbait: A Multi-Strategy Approach Using Neural Networks—0
Graph Convolutional Networks for Named Entity RecognitionCode0
A Deep Neural Network Approach To Parallel Sentence Extraction—0
Multi-Person Brain Activity Recognition via Comprehensive EEG Signal Analysis—0
Feature Engineering for Predictive Modeling using Reinforcement Learning—0
Unsupervised Machine Learning for Networking: Techniques, Applications and Research Challenges—0
Investigating how well contextual features are captured by bi-directional recurrent neural network models—0
Do LSTMs really work so well for PoS tagging? -- A replication study—0
Getting the Most out of AMR Parsing—0
Recurrent Attention Network on Memory for Aspect Sentiment AnalysisCode0
Don't Throw Those Morphological Analyzers Away Just Yet: Neural Morphological Disambiguation for Arabic—0
Learning Contextually Informed Representations for Linear-Time Discourse Parsing—0
Syntax Aware LSTM model for Semantic Role Labeling—0
A Cognition Based Attention Model for Sentiment Analysis—0
Deep Neural Solver for Math Word Problems—0
A study of N-gram and Embedding Representations for Native Language IdentificationCode0
Content Selection for Real-time Sports News Construction from Commentary Texts—0
Chinese Zero Pronoun Resolution with Deep Memory Network—0
Transparent text quality assessment with convolutional neural networks—0
Fast and Accurate Decision Trees for Natural Language Processing Tasks—0
A Factored Neural Network Model for Characterizing Online Discussions in Vector SpaceCode0
Unity in Diversity: A Unified Parsing Strategy for Major Indian Languages—0
Feature-Enriched Character-Level Convolutions for Text Regression—0
An Empirical Study of Discriminative Sequence Labeling Models for Vietnamese Text Processing—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CNN14 gestures accuracy0.98—Unverified